Agents

from crewai import Agent

agent = Agent(
  role='Data Analyst',
  goal='Extract actionable insights',
  backstory="""You're a data analyst at a large company.
    You're responsible for analyzing data and providing insights
    to the business.
    You're currently working on a project to analyze the
    performance of our marketing campaigns.""",
  tools=[my_tool1, my_tool2],  # Optional, defaults to an empty list
  llm=my_llm,  # Optional
  function_calling_llm=my_llm,  # Optional
  max_iter=15,  # Optional
  max_rpm=None, # Optional
  max_execution_time=None, # Optional
  verbose=True,  # Optional
  allow_delegation=False,  # Optional
  step_callback=my_intermediate_step_callback,  # Optional
  cache=True,  # Optional
  system_template=my_system_template,  # Optional
  prompt_template=my_prompt_template,  # Optional
  response_template=my_response_template,  # Optional
  config=my_config,  # Optional
  crew=my_crew,  # Optional
  tools_handler=my_tools_handler,  # Optional
  cache_handler=my_cache_handler,  # Optional
  callbacks=[callback1, callback2],  # Optional
  allow_code_execution=True,  # Optional
  max_retry_limit=2,  # Optional
  use_system_prompt=True,  # Optional
  respect_context_window=True,  # Optional
  code_execution_mode='safe',  # Optional, defaults to 'safe'
)

agent = Agent(
        role="{topic} specialist",
        goal="Figure {goal} out",
        backstory="I am the master of {role}",
        system_template="""<|start_header_id|>system<|end_header_id|>
                        {{ .System }}<|eot_id|>""",
        prompt_template="""<|start_header_id|>user<|end_header_id|>
                        {{ .Prompt }}<|eot_id|>""",
        response_template="""<|start_header_id|>assistant<|end_header_id|>
                        {{ .Response }}<|eot_id|>""",
)

from crewai import Agent, Task, Crew
from custom_agent import CustomAgent # You need to build and extend your own agent logic with the CrewAI BaseAgent class then import it here.

from langchain.agents import load_tools

langchain_tools = load_tools(["google-serper"], llm=llm)

agent1 = CustomAgent(
    role="agent role",
    goal="who is {input}?",
    backstory="agent backstory",
    verbose=True,
)

task1 = Task(
    expected_output="a short biography of {input}",
    description="a short biography of {input}",
    agent=agent1,
)

agent2 = Agent(
    role="agent role",
    goal="summarize the short bio for {input} and if needed do more research",
    backstory="agent backstory",
    verbose=True,
)

task2 = Task(
    description="a tldr summary of the short biography",
    expected_output="5 bullet point summary of the biography",
    agent=agent2,
    context=[task1],
)

my_crew = Crew(agents=[agent1, agent2], tasks=[task1, task2])
crew = my_crew.kickoff(inputs={"input": "Mark Twain"})